ADR-010: Deterministic Star-Wars-Style Asset Intake Pipeline
Status: Proposed Date: 2026-03-11 Deciders: Agent Org
Context
The current mod workflow can ingest assets through ad-hoc manual steps, but a repeatable low-poly conversion for a Star Wars conversion requires:
- deterministic source discovery (prefer API-driven),
- provenance-first manifests,
- explicit legal/IP state separate from technical quality,
- machine-readable scoring and rejection rules,
- and non-destructive registration before runtime use.
The immediate need is a pre-implementation contract for an assetctl toolchain, not a full production asset conversion subsystem.
Decision
- Add an explicit agent-facing intake pipeline with machine-readable schemas and policy files.
- Add
assetctlas a dedicated CLI surface forsearch,intake,normalize,validate,stylize,register,export-unity. - Use a source-tier model (Sketchfab primary, BlendSwap secondary, ModDB reference, browser fallback last).
- Track two independent state dimensions on each asset:
technical_status(discovered → normalized → validated → ready_for_prototype),ip_status(generic_safe vs high_risk_do_not_ship).
- Require a manifest conforming to
schemas/asset-manifest.schema.jsonbefore promotion beyond prototype.
Consequences
- Legal/provenance decisions become auditable and machine-enforced instead of informal.
- Asset quality variance is controlled through explicit technical gates and validation reports.
- Source/API strategy is configurable without code changes via policy documents.
- Pre-implementation artifacts remain non-invasive: no runtime coupling before design freeze.
- Future release-safe workflows can be added by changing policy and status transitions, not by rewriting the whole pipeline.
Alternatives Considered
- One-off manual asset import:
- rejected due to non-repeatability and weak provenance control.
- Full external DAM integration:
- rejected in V1 due to complexity and scope, but preserved as a future extension.
- Browser automation as default:
- rejected because it is brittle and harder to audit for policy and retries.